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#### English

Subtitles: English

### Skills you will gain

Computational NeuroscienceArtificial Neural NetworkReinforcement LearningBiological Neuron Model

## 18%

got a tangible career benefit from this course

#### Shareable Certificate

Earn a Certificate upon completion

#### 100% online

Start instantly and learn at your own schedule.

#### English

Subtitles: English

## Syllabus - What you will learn from this course

Content Rating96%(6,281 ratings)
Week
1

## Week 1

4 hours to complete

## Introduction & Basic Neurobiology (Rajesh Rao)

4 hours to complete
6 videos (Total 89 min), 6 readings, 2 quizzes
6 videos
1.2 Computational Neuroscience: Descriptive Models11m
1.3 Computational Neuroscience: Mechanistic and Interpretive Models12m
1.4 The Electrical Personality of Neurons23m
1.5 Making Connections: Synapses20m
1.6 Time to Network: Brain Areas and their Function17m
Welcome Message & Course Logistics10m
Syllabus and Schedule10m
Matlab & Octave Information and Tutorials10m
Python Information and Tutorials10m
Week 1 Lecture Notes10m
2 practice exercises
Matlab/Octave Programming1h
Python Programming1h
Week
2

## Week 2

4 hours to complete

## What do Neurons Encode? Neural Encoding Models (Adrienne Fairhall)

4 hours to complete
8 videos (Total 167 min), 3 readings, 1 quiz
8 videos
2.2 Neural Encoding: Simple Models12m
2.3 Neural Encoding: Feature Selection22m
2.4 Neural Encoding: Variability23m
Vectors and Functions (by Rich Pang)30m
Convolutions and Linear Systems (by Rich Pang)16m
Change of Basis and PCA (by Rich Pang)18m
Welcome to the Eigenworld! (by Rich Pang)24m
Welcome Message10m
Week 2 Lecture Notes and Tutorials10m
IMPORTANT: Quiz Instructions10m
1 practice exercise
Spike Triggered Averages: A Glimpse Into Neural Encoding1h
Week
3

## Week 3

3 hours to complete

## Extracting Information from Neurons: Neural Decoding (Adrienne Fairhall)

3 hours to complete
6 videos (Total 114 min), 2 readings, 1 quiz
6 videos
3.2 Population Coding and Bayesian Estimation24m
Fred Rieke on Visual Processing in the Retina14m
Gaussians in One Dimension (by Rich Pang)30m
Probability distributions in 2D and Bayes' Rule (by Rich Pang)13m
Welcome Message10m
Week 3 Lecture Notes and Supplementary Material10m
1 practice exercise
Neural Decoding30m
Week
4

## Week 4

3 hours to complete

## Information Theory & Neural Coding (Adrienne Fairhall)

3 hours to complete
5 videos (Total 98 min), 2 readings, 1 quiz
5 videos
4.2 Calculating Information in Spike Trains17m
4.3 Coding Principles19m
What's up with entropy? (by Rich Pang)25m
Information theory? That's crazy! (by Rich Pang)16m
Welcome Message10m
Week 4 Lecture Notes and Supplementary Material10m
1 practice exercise
Information Theory & Neural Coding1h